Text-to-speech (TTS) technology
Text To Speech technology has been around for many years. However, recent advances in Artificial Intelligence (AI) have significantly increased its power and capability. This technology allows written text to be converted into audio files with a selection of different languages and AI voices. The AI voices include natural-sounding voices in Indonesian, Italian, Japanese, and other languages.
Text To Speech technology has many advantages. It allows written content to be accessible to people who cannot read it themselves. This includes those with visual impairments or difficulty reading for other reasons. By converting written text into speech, Text To Speech technology makes it possible for anyone to access and understand written content.
Text To Speech technology improves accessibility. It creates audio versions of written content, such as books or documents. This makes it more convenient for people to listen to while they are on the go.
Audio versions of online content, such as websites or articles, can be created by assistive technology. This makes it more accessible for those who use it.
Apart from its accessibility benefits, Text To Speech technology improves efficiency and productivity in various settings. It automates the process of creating audio versions of written content, saving time and resources. It can quickly and easily convert large amounts of written text into speech. This makes it valuable for tasks such as data analysis and transcription.
Text To Speech technology is a significant advancement in AI technology that continues to develop and improve. The technology is becoming more powerful and versatile. Its potential applications are increasing. One of them is creating custom voices that sound like human speech.
Emerging Trends in TTS
Voice cloning technology allows you to create a TTS model of your own voice. This model can produce speech in a different accent, tone, or even as another person! This is achieved by recording your voice.
AI tool allows creators to generate voice-overs in their own voices using voice cloning technology. By recording just two minutes of your voice, the tool can create voice-overs with only text.
The development of emotional TTS technology has revolutionized the concept of realistic TTS. Emotional TTS uses deep learning algorithms. This gives computer-generated speech emotions like happiness, sadness and anger. This enhances its expressiveness and engagement.
Why limit yourself to spoken TTS when you can have TTS that sings? Singing TTS technology produces realistic voices that are capable of singing like humans, highlighting its remarkable potential for the music industry.
The advancement of multilingual TTS technology is revolutionizing the way we communicate in a world that values diversity. TTS (text-to-speech) is playing an important role in breaking down language barriers and increasing accessibility. It does this by allowing speech to be generated in multiple languages. This technology has the potential to bring people closer together by facilitating seamless communication across languages.
The potential new applications of TTS technology in the next section will amaze you. Get ready for it!
TTS technology has already amazed us. Now, the new head talking technology is about to take us to the next level. It is sure to blow our minds!
Now let’s talk about AI Avatar
Advancements in AI Technology
Artificial Intelligence (AI) technology has seen remarkable progress in recent years. Notable advancements have been made in natural language processing, machine learning, and computer vision.
The Rise of Talking Head Algorithms
AI technology is advancing rapidly. One fascinating development is the use of talking head algorithms. These algorithms can generate lifelike human faces and make them appear to speak in real-time.
Deep Learning Foundations
AI avatar algorithms are based on deep learning. Deep learning involves training large neural networks on large datasets. The neural networks are used to recognize patterns and make predictions.
The Role of Neural Networks
Neural networks are used in talking head algorithms. They are trained with audio recordings of human speech and video footage of people speaking. By analyzing this data, the algorithms can synthesize realistic-looking faces and make them appear to speak in real-time.
Applications in Entertainment and Beyond
Talking head algorithms have several applications in the entertainment industry, including virtual newscasters, hosts, and bands. Virtual reality applications can use artificial intelligence.
Entertainment and Practical Value
In these applications, users can interact with virtual characters. These characters look and sound like real people. Talking head algorithms have both entertainment and practical value. They could be used in customer service applications. People would be able to interact with virtual agents that have a human-like appearance and voice. They could also be used in education, creating virtual teachers or tutors.
Versatile Talking Head Videos
Talking head interviews are popular. In this type of video, a person talks to the camera. The shot is usually a head and shoulder shot. Talking head videos can be used for a variety of purposes, including corporate presentations, educational videos, and marketing content.
A Transformative Advancement
The development of talking head algorithms is an exciting advancement in AI technology. It has the potential to transform how we interact with virtual characters and agents. In summary, this technology could be revolutionary. As the technology continues to improve, we can expect to see even more impressive and realistic talking heads in the future.
This is a stand-out example of DeepBrain AI’s powerful technology
The product is called “AI Howie.” It enables users to engage in conversations with the AI version of Howie Mandel. This is demonstrated in the movies below, where the TTS talking head mentions VentureBeat.
Unlike the controversial “deepfakes” of Tom Cruise and other performers, this virtual human AI clone was created in collaboration with Mandel himself. At our most recent MetaBeat event in San Francisco, the “virtual Paris” AI persona, which was also a TTS talking head, was used.
About DeepBrain AI
DeepBrain AI is a leading player in the AI industry, with a strong track record of innovation and expertise in the field. The company’s commitment to developing cutting-edge AI solutions has helped it gain a reputation as a leader in the industry, and it continues to push the boundaries of what is possible with AI.
Q. What technology is used in text to speech?
Text-to-speech (TTS) technology is a type of assistive technology that reads digital text aloud. It takes words on a computer or other digital device and converts them into audio. TTS is very helpful for kids and adults who struggle with reading, but it can also help with writing, editing, and even focusing.
Q. Who benefits from text to speech technology?
TTS technology is increasing access for persons with special needs, especially the visually and hearing impaired, and the dyslexic. Screen readers can read text aloud making reading much more accessible to the physically challenged, whether for education or entertainment purposes.
Q. How does text to speech work?
Text-to-speech (TTS) technology converts written text into speech. A TTS engine converts text to audio and plays the audio back through speakers. TTS engines utilize a two-part method for conversion. The first part, called ‘text normalization’, analyzes the raw text. It then converts it into phonetic transcriptions through a process called ‘text-to-phoneme’ or ‘grapheme-to-phoneme’.
Q. What are the benefits of text to speech?
- Multilingual Capabilities: Accommodates different languages.
- Personalization and Enhanced Voice Assistance: Tailors the experience for users.
- Cost and Time Savings: Streamlines processes and reduces time commitments.
- Consistency in Brand Voice: Ensures uniformity in communication.
- More Engaging Content: Enhances user engagement with dynamic audio.
- Solution to the Voice Talent Shortage: Addresses challenges in finding suitable voice talent.
- Learning and Training: Facilitates educational and training activities.
- Voice Cloning: Offers possibilities for replicating voices for various applications.